<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Data Lakehouse on Jaehyeon Kim</title><link>https://jaehyeon.me/tags/data-lakehouse/</link><description>Recent content in Data Lakehouse on Jaehyeon Kim</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Copyright © 2023-2026 Jaehyeon Kim. All Rights Reserved.</copyright><lastBuildDate>Thu, 17 Jul 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://jaehyeon.me/tags/data-lakehouse/index.xml" rel="self" type="application/rss+xml"/><item><title>Self-service Data Platform via a Multi-tenant SQL Gateway</title><link>https://jaehyeon.me/blog/2025-07-17-self-service-data-platform-via-sql-gateway/</link><pubDate>Thu, 17 Jul 2025 00:00:00 +0000</pubDate><guid>https://jaehyeon.me/blog/2025-07-17-self-service-data-platform-via-sql-gateway/</guid><description>In the modern data stack, providing direct access to powerful engines like Apache Spark and Flink is a double-edged sword. While it empowers users, it often leads to chaos: resource contention from &amp;ldquo;noisy neighbors,&amp;rdquo; inconsistent security enforcement, and operational fragility. The core problem is the lack of a robust control plane between users and the raw compute power. The solution, therefore, isn&amp;rsquo;t to take power away from users, but to manage it through an intelligent intermediary.</description><enclosure url="https://jaehyeon.me/blog/2025-07-17-self-service-data-platform-via-sql-gateway/featured.png" length="55011" type="image/png"/></item></channel></rss>